Join us on a tour of the FME Platform, with live demos that will showcase the latest and greatest features. First, we’ll build an app that connects to an API and helps us make intelligent choices based on that data. Next, we’ll build an app that uses machine learning tools to analyze images and make decisions based on what the images contain. Get tips and tricks from our experts and see what’s new in FME 2020. Download the Workspaces

Use the FME Platform to connect data across the enterprise. From authoring to automation, learn how FME can help you integrate inter-departmental workflows, remove manual data entry, and notify your stakeholders. We’ll demo an asset management workflow using IoT, discuss REST API integrations and webhooks, and show you how to synchronize database updates in the cloud. Download the Workspaces

I found myself needing to switch from Salesforce to FME Server to run workspaces or retrieve reports that weren't set up yet in Salesforce. Turns out there's an easier way. I will explain how to use the FME Server REST API to remotely run workspaces from Salesforce.

We will cover the use of FME technology to interface with survey data in judging pre-enrollment of prospective fiber utility clients, logging and acknowledging enrollment and translation to marketing efforts for a complete picture of take rate. We will also show how we use FME to translate data to our very complex fiber map schema for use in inspection, construction of the utility, as-built's and final homes passed records of clients after they take service. Overall, FME has been integral in standing up our new utility from start-up to construction, as-built changes all the way to billing our customers. We have multiple FME workbenches as well as FME server processes to show.

Texas pipeline operators are required to submit operating permits called T4s to the Texas Railroad Commission (TRRC) annually. For any given operator, there could be anywhere between 50 to 100 permits that would require a GIS personnel to manually compare what was submitted and consideration for any changes to the assets since the last submission. Leveraging FME this effort can be made more efficient and accurate. Therefore enabling GIS staff to review FME outputs through a graphical interface such as a Geocortex HTML Viewer or webmap. The FME created package bundles the cover page, a paper map, and a digital export which is ready to be filed with the TRRC. This tool will help to cut down the processing time, deliver a consistent result each time, and allow the GIS staff to accomplish more in the same time period.

Learn about data democratization, a way to easily make data available to end users while reducing the burden of data requests. We’ll show you how to automate notification systems and distribute results from your FME workflows with key stakeholders and Business Intelligence systems. Download the Workspaces

Central San has been using FME Server to publish geo-enriched asset and parcel data for Esri and Geocortex web maps and Cityworks applications for several years. Recently, we overhauled our publishing processes to simplify workflows and take advantage of FME Server Automations. Instead of a few “monolithic” workspaces that run every weeknight, we have several smaller “micro-service” workflows that are chained together in FME Server Automations that run most weeknights. A few additional larger workflows are run in a separate Automations at the end of the week. This has significantly reduced load on the FME Server on most weeknights.

Using FME from the region to the microscopic scale for research into mine gas safety - what we learned over a 5-year journey culminating in a new and practical methodology for characterizing gas emissions.
1. Region scale – creating and applying surface and sub-surface digital elevation models from exploration data
2. Mine scale – extracting and aligning crappy input data from laboratory, drilling and production spreadsheets and AutoCAD to get quality geometry with attributes and 3D visualizations in Mapbox and Power BI. Allows democratization of information to operational staff without burdening the survey and admin teams.
3. Microscopic scale – using the new DICOM reader to visualize coal structure, and why that's important for assessing risk. Showcasing Dmitri's work already on the hub.

We’ll take you through the most cutting-edge scenarios our team has been working on over the last year, including applying machine learning to geospatial data, real-world use cases for immersive environments, photogrammetry, and more. Download the Workspaces

In the US, state Departments of Transportation (DOTs) face some unique challenges, including spatial and LRS data process and representation, which are above and beyond those experienced by most other enterprises.

The Arizona Department of Transportation’s (ADOT) leverages FME technologies to connect the data silos, enable data visualization and discovery, harmonize LRS, spatial and non-spatial datasets, and weave best practices into a strong data governance fabric. The presentation shows how FME is used to enables and orchestrates the workflows, dashboards, metadata, quality control and data improvement.

Geotechnical engineering uses principles of soil mechanics and rock mechanics to investigate subsurface conditions and materials. Everyday work includes dam safety inspections, dam and tunnel designs, site investigations and water quality reporting. FME is used to transform a variety of types of data associated with these tasks. The purpose of this talk is to provide an overview of some of these workflows including: converting tabular data to 3D lines based on dip, depth and lithology information, applying graphical geology information as a texture on 3D features and generating catalogues of photos, notes and location information for dam safety inspections.

Learn how Globema used FME to automatically process AutoCAD DWG source files into various output formats, to transform and load data into GE Smallworld, and to create reusable data transformation workflows for telecom operators.

Learn how the Malaria Atlas project used FME to assemble global databases on malaria risk and intervention coverage, to develop innovative analysis methods, and to produce global pixel-level maps of malaria burden, trends over time, and the impact of interventions.

Learn how NamPower used FME to integrate spatial data from multiple sources into a SCADA Dashboard to enable engineers to make decisions under emergency conditions and to deliver critical data to staff while they are not in the office.

MapSherpa sells maps, but our most complicated use of FME is to translate all of our map sales information into one database. We aggregate data from Amazon marketplaces in the US, Canada and the UK, PayPal, our own e-commerce store and back-end database. This allows generation of financial reports for the company, royalty reports for publishers, and cost reports for our print partners.

With the implementation of the new Altalis Platform, Altalis continues to distribute a variety of spatial data products in various formats that span Alberta and elsewhere. To fulfill translation requests, a number of factors determine the automated workflow, such as by a data update or delivery task, by product, by format, and more. We will showcase how we used FME Workbench and FME Server as a core component of the application platform to perform the translations and the optimizations we implemented.

Many large organizations expend significant financial and human resources managing facilities. To help with this effort, organizations have implemented Integrated Workplace Management Systems (IWMS). These systems are data intensive and rely on accurate, timely, high quality data. The US Federal Government’s management model challenges this approach because facilities are owned by one large federal agency and managed and/or used by others. This means data is constantly flowing from one agency to another. For larger federal agencies, managing this data flow is a challenge in and of itself. To address the problem, Avineon is assisting a very large, nationwide federal agency to ingest, standardize, QC, and validate source AutoCAD plans using FME Server, saving federal workers countless hours while improving overall data quality. This presentation will showcase the development, implementation, and use of FME Server to help streamline this entire process.

Have you ever burned the midnight oil trying to track down and fix a misbehaving workspace after it's trashed your production database thanks to some bizarrely errant input data you never anticipated? If so, take a leaf from the software engineering book and use a test framework with your workspaces as you build them (or after, if they already exist). I'll briefly summarize effective usage of the relevant freely-available transformers I've published on the FME Hub.

A mid-sized city in Louisiana was seeking to improve citizen engagement and reduce the amount of time that citizen issues were being addressed on a 12-year capital improvement program
To help respond to citizen efficiently there was a need to quickly locate calls on a map in relation to project locations, existing work-orders, and city-owned wastewater assets
Program staff utilize Customer Relations Management (CRM) and Help Desk tools from Zoho to log issues and track resulting tickets.

The Challenge: Multiple systems are in use in the Capital Program making it challenging to tie related information together. Zoho Desk is used to log and manage citizen calls with ticket tracking workflow. Zoho Analytics is used to show related citizens calls and how long the call takes to resolve. ArcGIS Online is used to publish maps and feature services providing access to information to program stakeholders. Cityworks is used for asset and work order management. Oracle Primavera Unifier is used for capital planning, project delivery, cost controls

FME is used to bring information together from separate systems allowing program staff to see where calls are in relation to work occurring or scheduled to occur in the program. This helps program staff efficiently and effectively respond to Citizens.

This presentation will go through the main data integration workflows and how Burns & McDonnell’s technical consultants used FME in collaboration with Safe Software and The City’s Citizen Help desk staff.

"Hey Google, update my datasets and show the last 24 hours of activity."

Boosting productivity via automated workflows is what FME is about and voice-commands can push that productivity to the next level. This presentation will talk about the methods and possible applications of a voice activated FME job.

The history behind me starting this project was because I asked myself ""Wouldn't it be funny if I could use my google home to update my seismic datasets?"" I then set out to create a workflow that pushed voice commands with arguments to an FME job via a .bat file, and the final product turned out great. I have shown it to plenty of people in multiple industries, and each has given me an example of how something like this could increase productivity in their work.

After watching this presentation, you will see how easy it is to set up this workflow. I hope to inspire you to implement this into your own workflows in your respective industries."

Managing the maintenance tasks associated with your spatial databases and applications can be tedious and time consuming. This talk will focus on features available with FME Desktop and FME Server that can help automate maintenance tasks and monitor your system for issues.

Learn how the North Cowichan GIS Team has used the power of Safe Software’s FME Server to deliver a higher level of service without additional staff resources, with specific examples related to open data delivery, internal publishing of third-party data, tangible capital asset reporting, and increasing ArcGIS Server performance and maintainability by mirroring to file geodatabases.

Our client presented us with a challenge of keeping two datasets in sync. One dataset was maintained by the GIS department and they are constantly in the process of updating the parcel boundaries. Sometimes these updates are small changes such as correcting the borders to match the property lines. Other times, these changes are significant. Significant changes can include merging parcels, splitting parcels or large corrections to the parcel shape. The other dataset is maintained by the maintenance department and it denotes which parcels they must go out and do a maintenance task on. This maintenance dataset was originally derived from the GIS dataset, but all synchronizations were being done manually. The main challenge is that if a parcel was previously a maintenance parcel and it has been merged or split, then a decision must be made on whether the new parcels are still considered maintenance parcels. This presentation will show how you can use the HausdorffDistanceCalculator transformer that is on the FME Hub, and some of the properties of the polygons to determine which changes are large enough to need to be reviewed. Anything that does not meet the threshold is automatically passed into the maintenance dataset, and anything that meets the threshold is passed into a “needs review” dataset. This immensely reduces the amount of data that the reviewer must look at and makes our client successful by saving them a ton of time.